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A Safety Performance Assessment Framework for the Petroleum Industry’s Sustainable Development Based on FAHP-FCE and Human Factors

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  • Junqiao Zhang

    (School of Electronics and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, China)

  • Xuebo Chen

    (School of Electronics and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, China)

  • Qiubai Sun

    (School of Business Administration, University of Science and Technology Liaoning, Anshan 114051, China)

Abstract

Sustainability is a key factor in petroleum industry development, determining whether an enterprise has the ability to maintain high-quality safety management in the long term. In order to reduce occupational injuries and accidents, and to improve safety in the petroleum industry, this study proposes a hybrid approach based on the fuzzy analytical hierarchy process (FAHP), human factors, and the fuzzy comprehensive evaluation (FCE) method in order to assess safety performance in a petroleum enterprise. This paper is comprised of four stages. In the first stage, a model is constructed for assessing the safety of the petroleum industry based on a literature review. In the second stage, we use the FAHP to determine the weights of five factors and 19 sub-factors. In the third stage, employees are the subjects of a questionnaire on the safety performance of the petroleum enterprise. According to the analysis of the assessment results, we focus on improving employees’ safety behaviors and mental health. A second round of questionnaires is distributed to the employees, and a second set of assessment results obtained. Finally, the results of the two evaluations are compared, and the effectiveness of the combination of FAHP, human factors, and FCE is verified.

Suggested Citation

  • Junqiao Zhang & Xuebo Chen & Qiubai Sun, 2019. "A Safety Performance Assessment Framework for the Petroleum Industry’s Sustainable Development Based on FAHP-FCE and Human Factors," Sustainability, MDPI, vol. 11(13), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:13:p:3564-:d:243775
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    References listed on IDEAS

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    1. Kariuki, S.G. & Löwe, K., 2007. "Integrating human factors into process hazard analysis," Reliability Engineering and System Safety, Elsevier, vol. 92(12), pages 1764-1773.
    2. Li, Wenhua & Yu, Suihuai & Pei, Huining & Zhao, Chuan & Tian, Baozhen, 2017. "A hybrid approach based on fuzzy AHP and 2-tuple fuzzy linguistic method for evaluation in-flight service quality," Journal of Air Transport Management, Elsevier, vol. 60(C), pages 49-64.
    3. Tufan Demirel & Nihan Çetin Demirel & Cengiz Kahraman, 2008. "Fuzzy Analytic Hierarchy Process and its Application," Springer Optimization and Its Applications, in: Cengiz Kahraman (ed.), Fuzzy Multi-Criteria Decision Making, pages 53-83, Springer.
    4. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    5. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    6. Heimann, Larry, 2005. "Repeated Failures in the Management of High Risk Technologies," European Management Journal, Elsevier, vol. 23(1), pages 105-117, February.
    7. Alipour, M. & Alighaleh, S. & Hafezi, R. & Omranievardi, M., 2017. "A new hybrid decision framework for prioritizing funding allocation to Iran's energy sector," Energy, Elsevier, vol. 121(C), pages 388-402.
    8. Thomas L. Saaty, 1994. "How to Make a Decision: The Analytic Hierarchy Process," Interfaces, INFORMS, vol. 24(6), pages 19-43, December.
    9. Rajesh Kr. Singh & Angappa Gunasekaran & Pravin Kumar, 2018. "Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach," Annals of Operations Research, Springer, vol. 267(1), pages 531-553, August.
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    4. Seungho Jung & Seungkyoo Pak & Kwanwoo Lee & Chankyu Kang, 2021. "Classification of Human Failure in Chemical Plants: Case Study of Various Types of Chemical Accidents in South Korea from 2010 to 2017," IJERPH, MDPI, vol. 18(21), pages 1-14, October.

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